Identity management through biometrics offer potential advantages over knowledge and possession based methods. A wide variety of biometric modalities have been tested so far …
Iris images captured in non-cooperative environments often suffer from adverse noise, which challenges many existing iris segmentation methods. To address this problem, this paper …
We present TEyeD, the world's largest unified public data set of eye images taken with head- mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …
S Lian, Z Luo, Z Zhong, X Lin, S Su, S Li - Journal of Visual Communication …, 2018 - Elsevier
Iris segmentation is a critical step for improving the accuracy of iris recognition, as well as for medical concerns. Existing methods generally use whole eye images as input for network …
Conventional iris recognition requires controlled conditions (eg, close acquisition distance and stop-and-stare scheme) and high user cooperation for image acquisition. Non …
With the increasing imaging and processing capabilities of today's mobile devices, user authentication using iris biometrics has become feasible. However, as the acquisition …
P Jahankhani, V Kodogiannis… - IEEE John Vincent …, 2006 - ieeexplore.ieee.org
Decision support systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses and increased tolerance when handling …
In this survey, we provide a comprehensive review of more than 200 articles, technical reports, and GitHub repositories published over the last 10 years on the recent …
Z Zhao, K Ajay - … of the IEEE international conference on …, 2015 - openaccess.thecvf.com
This paper proposes a novel and more accurate iris segmentation framework to automatically segment iris region from the face images acquired with relaxed imaging under …